abstract = "we investigate the benefits of applying a
multi-objective approach for solving a symbolic
regression problem by means of grammatical evolution.
In particular, we continue with previous research about
finding expressions to model the glucose levels in
blood of diabetic patients. We use here a
multi-objective Grammatical Evolution approach based on
NSGA-II algorithm, considering the root mean squared
error and an ad-hoc fitness function as objectives.
This ad-hoc function is based on the Clarke Error Grid
analysis, which is useful for showing the potential
danger of mispredictions. Experimental results show
that the multi-objective approach improves previous
results in terms of Clarke Error Grid analysis reducing
the number of dangerous mispredictions.",